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Patent Leaderboard
USPTO Patent Rankings Data through Dec 31, 2025
PS

Prithviraj Sen — 19 Patents

IBM: 18 patents #6,142 of 70,183Top 9%
San Jose, CA: #3,451 of 32,062 inventorsTop 15%
California: #31,067 of 386,348 inventorsTop 9%
Overall (All Time): #229,345 of 4,157,543Top 6%
19 Patents All Time
Prithviraj Sen has been granted 19 US patents while listed as an inventor at IBM. The first was granted in 2016 and the most recent in October 2025. Prithviraj Sen ranks #229,345 of 4,157,543 US inventors in our database (top 5.5%). Patent records list Prithviraj Sen in San Jose, CA, US.

Patents per Year

Patents granted per year, 2016 to 2025Bar chart with a peak of 5 patents in 2024.peak 52016: 1 patents20162017: 1 patents20172019: 2 patents20192020: 1 patents20202021: 1 patents20212022: 2 patents20222023: 3 patents20232024: 5 patents20242025: 3 patents2025

Issued Patents All Time

Showing 1–19 of 19 patents

Patent #TitleCo-InventorsDateApprox Value ⓘ
12452828 Indoor place prediction Manoop Talasila, Qifa Wu, Wen-Ling Hsu, Xiaopeng Jiang, Cristian Borcea 2025-10-21
12266077 Deep learning of entity resolution rules Sheshera Mysore, Sairam Gurajada, Lucian Popa, Kun Qian 2025-04-01
12197861 Learning rules and dictionaries with neuro-symbolic artificial intelligence Marina Danilevsky Hailpern, Yunyao Li 2025-01-14
12050980 Forecasting in multivariate irregularly sampled time series with missing values Berthold Reinwald, Shivam Srivastava 2024-07-30 $29,498,000
12039002 Predicting multivariate time series with systematic and random missing values Mu Qiao, Yuya Jeremy Ong, Berthold Reinwald 2024-07-16 $23,207,000
11989515 Adjusting explainable rules using an exploration framework Yiwei Yang, Yunyao Li, Eser Kandogan 2024-05-21 $15,464,000
11900070 Producing explainable rules via deep learning Siddhartha Brahma, Yunyao Li, Laura Chiticariu, Rajasekar Krishnamurthy, Shivakumar Vaithyanathan +1 more 2024-02-13 $14,886,000
11875131 Zero-shot cross-lingual transfer learning Zihui Li, Yunyao Li, Huaiyu Zhu 2024-01-16 $9,068,000
11829496 Workflow for evaluating quality of artificial intelligence (AI) services using held-out data Rajasekar Krishnamurthy, Yunyao Li, Shivakumar Vaithyanathan, Hao Wang, Sang Don Han 2023-11-28 $7,743,000
11650970 Extracting structure and semantics from tabular data Xilun Chen, Laura Chiticariu, Alexandre Evfimievski, Marina Danilevsky Hailpern 2023-05-16 $5,363,000
11645525 Natural language explanation for classifier predictions Poornima Chozhiyath Raman, Yunyao Li, Dakshi Agrawal 2023-05-09 $3,203,000
11501111 Learning models for entity resolution using active learning Kun Qian, Lucian Popa, Min Li 2022-11-15 $5,426,000
11429816 Workflow for evaluating quality of artificial intelligence (AI) services using held-out data Rajasekar Krishnamurthy, Yunyao Li, Shivakumar Vaithyanathan, Hao Wang, Sang Don Han 2022-08-30 $8,668,000
11200413 Table recognition in portable document format documents Douglas R. Burdick, Wei-Di Cheng, Alexandre Evfimievski, Marina Danilevsky Hailpern, Rajasekar Krishnamurthy +2 more 2021-12-14 $4,192,000
10776269 Two level compute memoing for large scale entity resolution Min Li, Lucian Popa 2020-09-15 $3,481,000
10289963 Unified text analytics annotator development life cycle combining rule-based and machine learning based techniques Laura Chiticariu, Jeffrey Thomas Kreulen, Rajasekar Krishnamurthy, Shivakumar Vaithyanathan 2019-05-14 $3,761,000
10228922 Hybrid parallelization strategies for machine learning programs on top of mapreduce Matthias Boehm, Douglas R. Burdick, Berthold Reinwald, Shirish Tatikonda, Yuanyuan Tian +1 more 2019-03-12 $2,141,000
9665625 Maximizing the information content of system logs Frederick R. Reiss, Saeed Ghanbari 2017-05-30 $1,983,000
9286044 Hybrid parallelization strategies for machine learning programs on top of MapReduce Matthias Boehm, Douglas R. Burdick, Berthold Reinwald, Shirish Tatikonda, Yuanyuan Tian +1 more 2016-03-15 $3,165,000